Название: State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem
Автор: David Paper
Издательство: Apress
Год: 2021
Страниц: 388
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This book teaches you state-of-the-art deep learning models in an applied manner with the only requirement being an Internet connection. The Colab ecosystem provides everything else that you need, including Python, TensorFlow 2.x, GPU and TPU support, and Jupyter Notebooks.

Название: Application Delivery and Load Balancing in Microsoft Azure: Practical Solutions with NGINX and Microsoft Azure, First Edition
Автор: Derek DeJonghe, Arlan Nugara
Издательство: O'Reilly Media
Год: 2021
Страниц: 111
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB, 10.1 MB

With more and more companies moving on-premises applications to the cloud, software and cloud solution architects alike are busy investigating ways to improve load balancing, performance, security, and high availability for workloads. This practical book describes Microsoft Azure's load balancing options and explains how NGINX can contribute to a comprehensive solution.

Название: Python for Everyone
Автор: Cay Horstmann, Rance Necaise
Издательство: Wiley
Год: 2014
Страниц: 724
Язык: английский
Формат: pdf (true)
Размер: 39.6 MB

Python for Everyone, 1st Edition is a comprehensive introduction to Python and computer programming, which focuses on the principles of programming, software engineering, and effective learning. It is designed for a one-semester, mixed-major, first course in programming. No prior programming experience is required, and only a modest amount of high school algebra is needed. For pedagogical reasons, the book uses Python 3, which is more regular than Python 2.

Название: Introducing MLOps: How to Scale Machine Learning in the Enterprise
Автор: Mark Treveil, Nicolas Omont, Clément Stenac, Kenji Lefevre, Du Phan, Joachim Zentici, Adrien Lavoillotte, Makoto Miyazaki, Lynn Heidmann
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 186
Размер: 13,6 Mb, 10 Mb
Язык: English

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact.

Название: Building Serverless Applications with Google Cloud Run: A Real-World Guide to Building Production-Ready Services
Автор: Wietse Venema
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 203
Размер: 11 Mb, 10 Mb
Язык: English

Learn how to build a serverless real-world application in the cloud that's reliable, secure, and scalable. If you have experience building web applications on traditional infrastructure, this comprehensive and approachable guide shows you how to get started with serverless containers on Cloud Run.

Название: C# 9.0 in a Nutshell: The Definitive Reference, First Edition
Автор: Joseph Albahari
Издательство: O’Reilly Media
Год: 2021-02-26
Формат: epub/pdf(conv.)
Страниц: 1060
Размер: 15.7 Mb
Язык: English

When you have questions about C# 9.0 or .NET 5, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, but with its continual growth there's so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today.

Название: Practical Fairness: Achieving Fair and Secure Data Models
Автор: Aileen Nielsen
Издательство: O’Reilly Media
Год: 2021
Формат: True PDF, ePUB
Страниц: 346
Размер: 12,8 Mb
Язык: English

Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world. But what does fairness mean when it comes to code? This practical book covers basic concerns related to data security and privacy to help data and AI professionals use code that's fair and free of bias.

Название: Programming the DRAGON12-Plus-USB in C and Assembly Language Using CodeWarrior
Автор: Richard E. Haskell, Darrin M. Hanna
Издательство: LBE Books
Год: 2018
Страниц: 217
Размер: 67.1 МБ
Формат: PDF
Язык: English

In this book you will learn how to program the Freescale MC9S12DG256 microcontroller that is on the Wytec DRAGON12-Plus-USB™ board. You will learn to program this microcontroller in both assembly language and C using the industry-standard CodeWarrior development system. To make it as easy as possible we have provided a stationery project that you can build upon that includes a large collection of built-in assembly language routines to access all of the various I/O functions of the MC9S12DG256.

Название: Computational Analysis and Deep Learning for Medical Care: Principles, Methods, and Applications
Автор: Amit Kumar Tyagi
Издательство: Wiley-Scrivener
Год: 2021
Страниц: 528
Язык: английский
Формат: pdf (true)
Размер: 50.2 MB

This book discuss how Deep Learning can help healthcare images or text data in making useful decisions. For that, the need of reliable Deep Learning models like Neural networks, Convolutional neural network, Backpropagation, Recurrent neural network is increasing in medical image processing, i.e., in Colorization of Black and white images of X-Ray, automatic machine translation, object classification in photographs/images (CT-SCAN), character or useful generation (ECG), image caption generation, etc. Hence, Reliable Deep Learning methods for perception or producing belter results are highly effective for e-healthcare applications, which is the challenge of today. For that, this book provides some reliable Deep Learning or deep neural networks models for healthcare applications via receiving chapters from around the world. In summary, this book will cover introduction, requirement, importance, issues and challenges, etc., faced in available current Deep Learning models (also include innovative Deep Learning algorithms/models for curing disease in Medicare) and provide opportunities for several research communities with including several research gaps in Deep Learning models (for healthcare applications).

Название: Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications
Автор: Siddhartha Bhattacharyya, Paramartha Dutta
Издательство: ‎Academic Press, Elsevier
Год: 2021
Страниц: 403
Язык: английский
Формат: pdf (true)
Размер: 44.0 MB

Computational Intelligence (CI) is a subset of Artificial Intelligence. The field of Computational Intelligence has grown tremendously over that past five years, thanks to evolving soft computing and Artificial Intelligent (AI) methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of Computational Intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few.